Makale detayı · 2006
A Comparative Study of Estimation Methods for Parameters in Multiple Linear Regression Model
Journal of Applied Animal Research
- Yıl
- 2006
- ISSN
0971-2119- Tür
- article
Veri kaynağı ayrımı
- YÖKSİS YÖKSİS makale kaydı
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Özet
İngilizce (OpenAlex)
Cankaya, S., Kayaalp, G.T., Sangun, L., Tahtali, Y. and Akar, M. 2006. A comparative study of estimation methods for parameters in multiple linear regression model. J. Appl. Anim. Res., 29: 43–47. This paper investigated least squares method, non-parametric method and robust regression methods to predict the parameters of multiple regression models. To evaluate these methods, measurements of body weight, total length and fork length of fishes collected from Serranus cabrilla were used. In these regression models, body weight was dependent variable whereas total length and fork length were independent variables. The results show that non-parametric regression method, general additive model, has minimum R2 value and least median squares has maximum R2 value, 0.334 and 0.855, respectively.
Konular
- Fish Biology and Ecology Studies
- Agricultural Economics and Practices
- Advanced Statistical Methods and Models
Birincil konu Fish Biology and Ecology Studies